Machine learning

This book provides applications of machine learning in healthcare systems and seeks to close the gap between engineering and medicine by combining design and problem-solving skills of engineering with health sciences to advance healthcare treatment.

The book provides a comprehensive overview of cyber security in Industry 5.

Machine translation of natural languages is one of the most complex and comprehensive applications of computational linguistics and artificial intelligence.

Probabilistic Reasoning in Intelligent Systems is a complete and accessible account of the theoretical foundations and computational methods that underlie plausible reasoning under uncertainty.

Machine learning is a dynamic and rapidly expanding field focused on creating algorithms that empower computers to recognize patterns, make predictions and continually enhance performance.

Constraint satisfaction is a simple but powerful tool.

Gain a working knowledge of prescriptive AI, its history, and its current and future trends.

Blondie24 tells the story of a computer that taught itself to play checkers far better than its creators ever could by using a program that emulated the basic principles of Darwinian evolution--random variation and natural selection-- to discover on its own how to excel at the game.

This book is aimed at practitioners of data science, with consideration for bespoke problems, standards, and tech stacks between industries.

Intelligent agents are employed as the central characters in this new introductory text.

Learn how to use the large-scale natural language processing model developed by OpenAI: ChatGPT.

This book is aimed at practitioners of data science, with consideration for bespoke problems, standards, and tech stacks between industries.

Rapid advancements in mobile computing and communication technology and recent technological progress have opened up a plethora of opportunities.

Advances in artificial intelligence (AI), widespread mobile devices, internet technologies, multimedia data sources, and information processing have led to the emergence of multimedia processing.

Machine Learning for Mobile Communications will take readers on a journey from basic to advanced knowledge about mobile communications and machine learning.

This first comprehensive book on models behind Generative AI has been thoroughly revised to cover all major classes of deep generative models: mixture models, Probabilistic Circuits, Autoregressive Models, Flow-based Models, Latent Variable Models, GANs, Hybrid Models, Score-based Generative Models, Energy-based Models, and Large Language Models.

Artificial Intelligence and Knowledge Processing play a vital role in various automation industries and their functioning in converting traditional industries to AI-based factories.

This book presents innovative research works to automate, innovate, design, and deploy AI fo real-world applications.

This edited book is a compilation of scholarly articles on the latest developments in the field of AI, Blockchain, and ML/DL in cloud security.

It has become difficult to ignore the analytics movement within the NFL.

This book explores the dynamic interplay between fractals and graph theory, two powerful mathematical tools with vast applications.

This book delves into the critical realm of trust management within the Internet of Vehicles (IOV) networks, exploring its multifaceted implications on safety and security which forms part of the intelligent transportation system domain.

The book investigates various MPPT algorithms, and the optimization of solar energy using machine learning and deep learning.

This book is an all-inclusive resource that provides a solid foundation on Generative Adversarial Networks (GAN) methodologies, their application to real-world projects, and their underlying mathematical and theoretical concepts.

The primary goal of this text is a practical one.

This monograph explores a set of statistical and machine learning tools that can be effectively utilized for applied data analysis in the context of electricity load forecasting.

Artificial intelligence (AI) is revolutionizing our daily lives, thanks to remarkable advancements in research and the widespread adoption of interactive technologies.

Our ability to generate and collect data has been increasing rapidly.

This book offers a comprehensive introduction to the central ideas that underpin deep learning.

Artificial intelligence (AI) and its applications have risen to prominence as one of the most active study areas in recent years.

In den letzten Jahren ist die Sportinformatik extrem gewachsen, vor allem weil immer mehr und neuere Daten verfügbar wurden.

This book includes selected peer reviewed articles from The 5th International Conference on Communications and Cyber-Physical Engineering (ICCCE 2022), held on 29th  and 30th  April 2022 in Hyderabad, India.

In the ever-evolving landscape of cancer treatment, the fusion of artificial intelligence (AI) with medical science marks a groundbreaking shift toward more precise, efficient, and personalized healthcare.

The recent developments in wireless communications, networking, and embedded systems have driven various innovative Internet of Things (IoT) applications, e.

Many AI (and machine learning) tasks present in dual forms, e.

Implement reinforcement learning techniques and algorithms with the help of real-world examples and recipesKey FeaturesUse PyTorch 1.

The two-volume set LNCS 13373 and 13374 constitutes the papers of several workshops which were held in conjunction with the 21st International Conference on Image Analysis and Processing, ICIAP 2022, held in Lecce, Italy, in May 2022.

This book explores the ongoing debate between shallow and deep learning in the field of machine learning.

Artificial Intelligence: An Introduction to Big Ideas and their Development, Second Edition guides readers through the history and development of artificial intelligence (AI), from its early mathematical beginnings through to the exciting possibilities of its potential future applications.

This book begins by discussing the fundamentals of Artificial Intelligence, the Internet of Things, and their convergence.

Harness the power of Large Language Models (LLMs) to build cutting-edge AI applications with Python and LangChain.

A self-contained and practical introduction that assumes no prior knowledge of programming or machine learning.

This book presents, for the first time, data analytics for smart infrastructures.

Transparent Artificial Intelligence (AI) systems facilitate understanding of the decision-making process and provide opportunities in various aspects of explaining AI models.

In today's digital age, the risks to data and infrastructure have increased in both range and complexity.

Graphical models (e.

The book extensively explores Brain-Computer Interfaces (BCIs), emphasizing both the theoretical foundations and practical applications within this rapidly advancing field.

With the advent of such advanced technologies as cloud computing, the Internet of Things, the Medical Internet of Things, the Industry Internet of Things and sensor networks as well as the exponential growth in the usage of Internet-based and social media platforms, there are enormous oceans of data.